code: def search(self, query: np.ndarray, k: int) -> np.ndarray:
      top_k = self.index.search(query.reshape(1, -1), k)
      return top_k[1].tolist()[0]
  
file_path: ludwig/ludwig/vector_index/faiss.py
imports: import faiss
  import numpy
  from ludwig.vector_index.base import VectorIndex
label_desc: Use image node_id 2 for calling the FaissIndex obj's underlying member method code with example usage: obj.search(query, k) and returns: top_k